An intelligent power storage capacity adjustment and management system for a wind turbine and its management method

Abstract

The present invention relates to the technical field of wind turbines, and discloses an intelligent regulation and management system for the electricity storage capacity of a wind turbine and its management method, including an electricity quantity monitoring module, which is used to continuously monitor the change in the electricity quantity of the electricity storage system of the wind turbine. A minimum electricity quantity threshold is set. If the actual electricity storage quantity does not exceed the minimum electricity quantity threshold, then except for supplying the daily specified power supply of the wind turbine and coping with sudden surges in power demand, the electricity storage system will not perform any discharge operations. By setting the minimum electricity quantity threshold, the system of the present invention ensures the ability to prioritize the daily specified power supply and cope with sudden power demands in any situation, reduces the power supply risk caused by insufficient electricity storage quantity, and can effectively plan the power supply by judging whether the electricity storage quantity is sufficient within the future observed days. During the peak power demand period, the system can use the estimated surplus electricity storage quantity to provide additional power supply.

Description

Technical Field

[0001] The present invention relates to the technical field of wind turbines, and in particular to an intelligent regulation and management system for power storage of wind turbines and a management method thereof. Background Art

[0002] A wind turbine is a device that converts wind energy into electrical energy. The kinetic energy of the wind drives the rotating blades, which in turn drive the generator to generate electricity. Its main components include blades, shafts, generators, control systems, and towers. The blades capture wind energy and convert it into mechanical energy, and the shafts transfer the mechanical energy to the generator.

[0003] Since wind power generation is inherently volatile, that is, power generation will be affected by changes in wind speed, energy storage measures need to be taken to ensure the balance between power supply and demand, so that wind power stations can still supply power through storage in the absence of wind. By regulating and managing the storage capacity of wind turbines, the economic benefits of power generation can be further improved. For example, under the time-of-use electricity price mechanism, the system can store electricity when electricity prices are low and discharge it at peak times. The key to managing the storage capacity of wind turbines is how to balance economic benefits and respond to sudden surges in electricity demand, so that the storage capacity of wind turbines can be maintained at a reasonable reserve capacity, enabling the storage system to discharge at peak times while taking into account the ability to respond to sudden electricity demands.

[0004] To this end, the present invention provides a wind turbine power storage intelligent regulation management system and a management method thereof. Summary of the invention

[0005] In view of the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide a wind turbine power storage intelligent regulation and management system and a management method thereof, so as to be able to perform intelligent regulation and management on the wind turbine power storage, ensure that the wind turbine can reasonably store and discharge the power storage according to the actual power consumption situation, and maintain a balance between the economic benefits generated during discharge and the response to sudden surges in power demand.

[0006] In order to achieve the above-mentioned purpose, the present invention provides the following technical solution: an intelligent regulation and management system for power storage of a wind turbine generator, comprising:

[0007] The power monitoring module is used to continuously monitor the power changes of the wind turbine power storage system and set a minimum power threshold. If the actual power storage does not exceed the minimum power threshold, the power storage system will not perform any discharge operation except for supplying the wind turbine with the daily power supply and responding to sudden power demand surges;

[0008] The stock estimation module is used to estimate the growth value of the stored electricity of the wind turbine within the future observation days through the weather forecast monitoring technology combined with the wind power generation prediction model, and add the estimated growth value of the stored electricity to the current actual electricity stock to obtain the estimated stock of the stored electricity of the wind turbine;

[0009] The electricity consumption estimation module is used to judge whether the stored electricity is sufficient within the future observation days according to the daily specified power supply of the wind turbine. When it is sufficient, subtract the total required supply power from the estimated stock to obtain the estimated surplus stored electricity, and compare the size of the estimated surplus stored electricity with the minimum electricity threshold, and perform corresponding operations according to the comparison result;

[0010] The peak discharge module is used to provide additional power supply when the system is executing at peak. Obtain the additional power supplied by subtracting the minimum electricity threshold from the estimated surplus stored electricity. The system will use the additional power supplied to execute the power supply to the power market during the peak electricity consumption.

[0011] Obtain the growth value of the stored electricity of the wind turbine within the future observation days and the total required supply power of the wind turbine until the future observation days. When the growth value of the stored electricity is greater than the total required supply power, divide the total required supply power by the growth value of the stored electricity to obtain the ratio of the power supply to the stored electricity. Set the ratio threshold to 0.5, and compare the ratio of the power supply to the stored electricity with the set ratio threshold. When the ratio of the power supply to the stored electricity is greater than or equal to the ratio threshold, the system does not operate; when the ratio of the power supply to the stored electricity is less than the ratio threshold, the system will multiply the growth value of the stored electricity by the ratio threshold to obtain a threshold reference value, calculate the difference between the threshold reference value and the total required supply power, and then add the difference to the electricity amount set by the minimum electricity threshold to obtain the safe discharge depth threshold, and use the safe discharge depth threshold to replace the original minimum electricity threshold, so that in the electricity consumption estimation module, the estimated surplus stored electricity is compared with the safe discharge depth threshold to decide whether to execute the additional power supply during peak hours.

[0012] In some embodiments, the specific method for judging whether the stored electricity is sufficient within the future observation days according to the daily specified power supply of the wind turbine is as follows: calculate the total required supply power until the future observation days based on the daily specified power supply of the wind turbine, and compare the size of the total required supply power with the estimated stock. When the estimated stock is greater than or equal to the total required supply power, it is judged that the stored electricity of the wind turbine is sufficient within the future observation days; when the estimated stock is less than the total required supply power, it is judged that the stored electricity of the wind turbine is insufficient within the future observation days.

[0013] In some embodiments, the specific operation is determined based on the comparison result between the estimated surplus storage power and the minimum power threshold: if the estimated surplus storage power exceeds the minimum power threshold, additional power supply is provided during peak hours; when the storage power of the wind power generator is insufficient within the future observation days, the discharge operation except for the daily specified power supply and the power supply for coping with sudden power demand events is stopped, and the remaining storage power is used to execute the daily specified power supply.

[0014] In some embodiments, when the increase value of the storage power within the future observation days is less than the total required supply power, the difference obtained by subtracting the increase value of the storage power from the total required supply power is used to correspondingly reduce the safety discharge depth threshold until it is reduced to be equal to the minimum power threshold, and the system will then use the minimum power threshold to replace the safety discharge depth threshold for use.

[0015] In some embodiments, when the safety discharge depth threshold is reduced to be equal to the minimum power threshold, the system will set the emergency storage power. Specifically, the emergency storage power is first obtained by subtracting the storage power specified by the minimum power threshold from the current actual power storage to get the surplus storage power, and then the surplus storage power is compared with the total required supply power of the wind power generator until the future observation days: when the surplus storage power is greater than or equal to the total required supply power, the system will select the same amount of power as the total required supply power from the surplus storage power and add it to the minimum power threshold, so that the minimum power threshold is temporarily increased; when the surplus storage power is less than the total required supply power, the system will directly add the surplus storage power to the minimum power threshold, and the minimum power threshold is temporarily increased.

[0016] The present invention also provides the following technical solution: an intelligent regulation and management method for the storage power of a wind power generator, including the following steps:

[0017] Continuously monitor the power change of the storage system of the wind power generator, set a minimum power threshold, and if the actual storage power does not exceed the minimum power threshold, the storage system will not perform any discharge operation except for supplying the daily specified power supply of the wind power generator and coping with the sudden increase in power demand;

[0018] Estimate the increase value of the storage power of the wind power generator within the future observation days through the weather forecast monitoring technology combined with the wind power generation prediction model, and add the estimated increase value of the storage power to the current actual power storage to obtain the estimated storage power of the wind power generator;

[0019] Judge whether the storage power is sufficient within the future observation days according to the daily specified power supply of the wind power generator. When it is sufficient, subtract the total required supply power from the estimated storage to obtain the estimated surplus storage power, and compare the estimated surplus storage power with the minimum power threshold, and perform corresponding operations according to the comparison result;

[0020] When the system provides additional power supply during the peak execution period, the additional power supply is obtained by estimating the surplus stored power minus the minimum power threshold. The system will use the additional power supply to execute the power supply to the power market during the peak power consumption period.

[0021] The technical solution provided by the present invention has the following beneficial effects compared with the prior art:

[0022] First, by setting the minimum power threshold, the system ensures the ability to prioritize the daily specified power supply and respond to sudden power demands in any situation, reducing the power supply risk caused by insufficient stored power. By judging whether the stored power is sufficient within the future observed days, the system can effectively plan the power supply. During the peak power demand period, the system can use the estimated surplus stored power to provide additional power supply, thereby obtaining a higher market electricity price and maximizing the economic benefits.

[0023] Second, by setting the safe discharge depth threshold, the present invention can effectively avoid deep discharge of lithium batteries, thereby extending the cycle life of lithium batteries, reducing the battery loss rate and maintenance cost. And dynamically adjusting the safe discharge depth threshold will be based on the actual power supply demand and the change of wind power generation, enabling the system to flexibly respond to the power demand fluctuations. By adjusting the safe discharge depth threshold when the stored power is insufficient, the wind turbine is allowed to output power when the economic benefit is higher than the loss caused by deep discharge.

[0024] Third, through the design of the balance of the stored power stock, the system can temporarily increase the minimum power threshold, effectively avoiding the stored power from falling below this threshold, thereby reducing the battery loss caused by deep discharge and ensuring that the wind turbine can stably supply power under various conditions. Brief Description of the Drawings

[0025] Figure 1 It is a module schematic diagram of an intelligent storage power adjustment and management system for a wind turbine of the present invention;

[0026] Figure 2 It is a flow schematic diagram of an intelligent storage power adjustment and management method for a wind turbine of the present invention. Detailed Embodiments

[0027] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] It is understood that the term "a" should be construed as "at least one" or "one or more". That is, in one embodiment, the number of an element can be one, while in other embodiments, the number of the element can be multiple. The term "a" should not be construed as a limitation on the quantity.

[0029] The present invention provides an intelligent regulation and management system for the electricity storage capacity of a wind turbine, as Figure 1 shown, including:

[0030] An electricity quantity monitoring module, which is used to continuously monitor the change in the electricity quantity of the electricity storage system of the wind turbine. In order to ensure that the electricity storage capacity of the wind turbine can give priority to coping with the sudden increase in power demand caused by a sudden power gap, a minimum electricity quantity threshold is set. When detecting the electricity storage capacity of the wind turbine, if the actual electricity storage does not exceed the minimum electricity quantity threshold, then except for supplying the daily specified power supply of the wind turbine and coping with the sudden increase in power demand, the electricity storage system will not perform any discharge operation, so as to be able to give priority to ensuring that the electricity storage reaches the stock for normal power supply;

[0031] A stock estimation module, which is used to obtain the environmental wind speed and wind direction data of the wind turbine within the future observation days through weather forecast monitoring technology, and estimate the electricity storage capacity growth value of the wind turbine within the future observation days in combination with the wind power generation prediction model. Adding the estimated electricity storage capacity growth value to the current actual electricity stock, the estimated stock of the electricity storage capacity of the wind turbine after the time reaches the future observation days is obtained. For example, if the future observation days are set to 3 days, after obtaining the data of the change in environmental wind speed and wind direction within 3 days, the electricity storage capacity growth value within these 3 days can be estimated in combination with the wind power generation prediction model, so as to obtain the estimated stock after 3 days in combination with the current actual electricity stock;

[0032] An electricity consumption estimation module, which is used to judge whether the electricity storage capacity within the future observation days is sufficient according to the daily specified power supply of the wind turbine. The specific judgment method is to calculate the total required supply power until the future observation days based on the daily specified power supply of the wind turbine. When the future observation days are set to 3 days, the total required supply power is the sum of the daily specified power supplies for 3 days. Comparing the total required supply power with the estimated stock, when the estimated stock is greater than or equal to the total required supply power, it is judged that the electricity storage capacity of the wind turbine within the future observation days is sufficient; when the estimated stock is less than the total required supply power, it is judged that the electricity storage capacity of the wind turbine within the future observation days is insufficient.

[0033] When the stored power of the wind power generator is sufficient within the future observation days, subtract the total required supply power from the estimated stock to obtain the estimated surplus stored power, and compare the estimated surplus stored power with the minimum power threshold. If the estimated surplus stored power exceeds the minimum power threshold, it indicates that after the future observation days, the remaining stored power of the wind power generator still has the ability to cope with sudden power demands. Then, provide additional power supply during peak hours to obtain a higher price during the peak power demand period. When the stored power of the wind power generator is insufficient within the future observation days, stop the discharge operations other than the daily specified power supply and the events for coping with sudden power demands, and use the remaining stored power to execute the daily specified power supply.

[0034] Peak discharge module, which is used to provide additional power supply during peak operations of the system. By subtracting the minimum power threshold from the estimated surplus stored power, the system obtains the additional power supply. The system will use the additional power supply to execute the power supply to the power market during peak hours to increase the power pricing revenue. When using the additional power supply, the power remaining in the stored power can always be kept above the minimum power threshold, without causing a shortage of the daily specified power supply of the wind turbine or losing the ability to cope with sudden power demands.

[0035] On the other hand, in the case of an increasing power gap, when the energy storage system of the wind turbine discharges according to demand, the actual stored power of the wind turbine will be lower than the minimum power threshold due to the sudden power supply gap. This causes the lithium battery in the energy storage system to be in a deep discharge state, which is likely to accelerate the reduction of the available capacity of the lithium battery itself and accelerate the aging process of the energy storage system of the wind turbine, reducing its charge-discharge cycle life. Therefore, it is necessary to set a dynamically adjustable safe discharge depth threshold. According to the power supply plan, the power supply demand of the wind turbine also changes. That is to say, the daily specified power supply of the wind turbine is high or low. Due to changes in wind speed and direction caused by weather conditions, the daily power generation of the wind turbine is also high or low. The specific method for setting the safe discharge depth threshold is as follows: Obtain the stored power growth value of the wind turbine within the future observation days and the total power supply required by the wind turbine until the future observation days. When the stored power growth value is greater than the total power supply required, divide the total power supply required by the stored power growth value to obtain the ratio of the power supply to the stored power. Compare the ratio of the power supply to the stored power with the set ratio threshold, and perform corresponding operations according to the comparison result. When the ratio of the power supply to the stored power is greater than or equal to the ratio threshold, it indicates that most of the power generated by the wind turbine within the future observation days is used for the daily specified power supply demand, and only a small part is stored as power. The system does not perform any operations. When the ratio of the power supply to the stored power is less than the ratio threshold, it indicates that only a small part of the power generated by the wind turbine within the future observation days is used for the daily specified power supply demand, and most of it is converted into stored power. The system will multiply the stored power growth value by the ratio threshold to obtain a threshold reference value, calculate the difference between the threshold reference value and the total power supply required, and then add the difference to the power set by the minimum power threshold to obtain the safe discharge depth threshold. Use the safe discharge depth threshold to replace the original minimum power threshold, so that the power prediction module compares the predicted surplus stored power with the safe discharge depth threshold and decides whether to execute additional power supply during peak hours. Specifically, the ratio threshold is set to 0.5. When the ratio of the total power supply required to the stored power growth value is less than 0.5, it indicates that the total power supply required is less than half of the stored power growth value. Then, most of the power generated by the wind turbine will be stored. It should be noted that the safe discharge depth threshold is at most half of the total stored power of the energy storage system. In the case of sufficient power generation by the wind turbine for a long time, it can reduce the possibility of the lithium battery being in a deep discharge state due to sudden power consumption and reduce the service life loss of the energy storage system.

[0036] Accordingly, when the increase in the stored electricity amount within the future observation days is less than the total required supply electricity amount, it indicates that the electricity generated by the wind turbine is already insufficient to cover the expenses. The difference obtained by subtracting the increase in the stored electricity amount from the total required supply electricity amount will be used to correspondingly reduce the safety discharge depth threshold until it is reduced to be equal to the minimum electricity amount threshold. Then the system will use the minimum electricity amount threshold to replace the safety discharge depth threshold. This design means that in the case of insufficient stored electricity, in order to ensure the economic benefits of the power generation of the wind turbine, the problem of deep discharge of the energy storage system will not be considered. This is because in the electricity spot market, the revenue brought by the peak-time electricity price is greater than the battery cost loss caused by deep discharge, and by appropriately increasing the minimum electricity amount threshold, the problem of life loss caused by deep discharge can also be reduced. However, the system will always abide by the rule that no additional power supply is provided during peak hours when the stored electricity amount is lower than the minimum electricity amount threshold, ensuring that the wind turbine can still complete the daily specified power supply amount and handle the demand for sudden electricity, thus taking into account both the stable operation of the wind turbine and ensuring the economic benefits it generates.

[0037] As another preferred embodiment of the present invention, in the actual regulation and management of the stored electricity amount of the wind turbine, due to the change in the wind speed of the external environment, the power generation of the wind turbine may surge within a period of time, and the stored electricity amount is always maintained above the minimum electricity amount threshold. And in a subsequent period of time, the power generation of the wind turbine may also drop suddenly, resulting in the subsequent wind turbine failing to supply electricity to execute the daily specified power supply amount, causing the stored electricity amount to drop below the minimum electricity amount threshold, thus resulting in the problems of deep discharge and the loss of the ability to cope with sudden power surges. For this reason, when the safety discharge depth threshold drops to be equal to the minimum electricity amount threshold, the system will set an emergency stored electricity stock. The emergency stored electricity stock is specifically obtained by first subtracting the stored electricity amount specified by the minimum electricity amount threshold from the current actual electricity stock to get the surplus stored electricity stock. At this time, the current actual electricity stock is all the electricity in the energy storage system, including the electricity not released during peak hours. Then compare the size of the surplus stored electricity stock with the total required supply electricity amount of the wind turbine until the future observation days. When the surplus stored electricity stock is greater than or equal to the total required supply electricity amount, the system will select the electricity equal to the total required supply electricity amount from the surplus stored electricity stock and add it to the minimum electricity amount threshold, so that the minimum electricity amount threshold is temporarily increased, ensuring that the stored electricity amount will not be lower than the original minimum electricity amount threshold due to executing the daily specified power supply amount within the future observation days. And if there is still remaining electricity in the surplus stored electricity stock, it will normally provide additional power supply during peak hours; when the surplus stored electricity stock is less than the total required supply electricity amount, the system will directly add the surplus stored electricity stock to the minimum electricity amount threshold and make the minimum electricity amount threshold temporarily increased to minimize the degree of the stored electricity amount falling below the minimum electricity amount threshold.

[0038] Generally speaking, the present invention aims to design an intelligent regulation and management system for the electricity storage capacity of a wind turbine. Regarding the problem of how to maintain the electricity storage capacity of the wind turbine at a reasonable reserve level, the present invention sets a minimum electricity threshold. The system ensures that in any case, it gives priority to ensuring the daily specified power supply and the ability to respond to sudden power demands, reducing the power supply risk caused by insufficient electricity storage. By judging whether the electricity storage is sufficient within the future observation days, the system can effectively plan the power supply. During the peak power demand period, the system can use the estimated surplus electricity storage to provide additional power supply, thereby obtaining a higher market electricity price and maximizing the economic benefits. By setting a safe discharge depth threshold, it can effectively avoid deep discharge of lithium batteries, thereby extending the cycle life of lithium batteries, reducing the battery loss rate and maintenance cost. And the dynamic adjustment of the safe discharge depth threshold will be based on the actual power supply demand and the change of wind power generation, enabling the system to flexibly respond to the power demand fluctuations. When the electricity storage is insufficient, by adjusting the safe discharge depth threshold, the wind turbine is allowed to output power when the economic benefit is higher than the loss caused by deep discharge. And through the design of the surplus electricity storage, the minimum electricity threshold can be temporarily increased, and the system can effectively avoid the electricity storage falling below this threshold, thereby reducing the battery loss caused by deep discharge and ensuring that the wind turbine can stably supply power under various conditions. The design of the present invention ensures that when the wind power generation fluctuates, the wind turbine can stably meet the daily specified power supply and sudden demands, and also balances the relationship between power supply safety and economic benefits.

[0039] The present invention provides an intelligent regulation and management method for the electricity storage capacity of a wind turbine, as Figure 2 shown, including the following steps:

[0040] Continuously monitor the change in the electricity storage capacity of the wind turbine's electricity storage system, and set a minimum electricity threshold. If the actual electricity storage does not exceed the minimum electricity threshold, then except for supplying the daily specified power supply of the wind turbine and dealing with sudden surges in power demand, the electricity storage system will not perform any discharge operations;

[0041] Estimate the electricity storage growth value of the wind turbine within the future observation days through weather forecast monitoring technology combined with the wind power generation prediction model, and add the estimated electricity storage growth value to the current actual electricity storage to obtain the estimated electricity storage of the wind turbine;

[0042] Judge whether the electricity storage is sufficient within the future observation days according to the daily specified power supply of the wind turbine. When it is sufficient, subtract the total required power supply from the estimated storage to obtain the estimated surplus electricity storage, and compare the estimated surplus electricity storage with the minimum electricity threshold, and perform corresponding operations according to the comparison result;

[0043] When the system provides additional power during the peak of execution, the additional power provided is obtained by estimating the surplus stored power minus the minimum power threshold. The system will use the additional power provided to supply power to the power market during the peak of electricity consumption.

[0044] In the embodiments disclosed by the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. The embodiments disclosed by the present invention include a computer program product, which includes a computer program carried on a computer-readable medium. The computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part and / or installed from a removable medium. When the computer program is executed by the central processing unit, the above functions defined in the methods of the present application are executed. It should be noted that the computer-readable medium mentioned above in the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wire segments, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical fiber, a portable compact disk read-only memory, an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or combined with an instruction execution system, device, or component. In the present application, the computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries the computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, and the computer-readable medium can send, propagate, or transmit a program for use by or combined with an instruction execution system, device, or component. The program code contained on the computer-readable medium can be transmitted by any appropriate medium, including but not limited to: wireless segments, wire segments, optical cables, RF, etc., or any suitable combination of the above.

[0045] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0046] Those skilled in the art should understand that the above description is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed in the present application should be covered by the protection scope of the present application.

Claims

1. An intelligent regulation and management system for the electricity storage capacity of a wind turbine, characterized in that, Including: A power quantity monitoring module, which is used to continuously monitor the power quantity change of the energy storage system of the wind turbine, set a minimum power quantity threshold. If the actual stored power does not exceed the minimum power quantity threshold, except for supplying the daily specified power supply of the wind turbine and coping with sudden surges in power demand, the energy storage system will not perform any discharging operations; A stock quantity estimation module, which is used to estimate the growth value of the stored power of the wind turbine within the future observation days by combining weather forecast monitoring technology with a wind power generation prediction model, and add the estimated growth value of the stored power to the current actual power quantity stock to obtain the estimated stock quantity of the stored power of the wind turbine; A power consumption estimation module, which is used to judge whether the stored power is sufficient within the future observation days according to the daily specified power supply of the wind turbine. When it is sufficient, subtract the total required supply power from the estimated stock quantity to obtain the estimated surplus stored power, and compare the size of the estimated surplus stored power with the minimum power quantity threshold, and perform corresponding operations according to the comparison result; A peak discharge module, which is used to provide an additional power supply when the system is executing at peak. The additional supplied power is obtained by subtracting the minimum power quantity threshold from the estimated surplus stored power. The system will use the additional supplied power to perform the power supply to the power market during the power consumption peak; Obtain the growth value of the stored power of the wind turbine within the future observation days and the total required supply power of the wind turbine until the future observation days. When the growth value of the stored power is greater than the total required supply power, divide the total required supply power by the growth value of the stored power to obtain the ratio of the power supply to the stored power. Set the ratio threshold to 0.5, and compare the ratio of the power supply to the stored power with the set ratio threshold. When the ratio of the power supply to the stored power is greater than or equal to the ratio threshold, the system does not operate; when the ratio of the power supply to the stored power is less than the ratio threshold, the system will multiply the growth value of the stored power by the ratio threshold to obtain a threshold reference value, calculate the difference between the threshold reference value and the total required supply power, and then add the difference to the power quantity set by the minimum power quantity threshold to obtain a safe discharge depth threshold, and use the safe discharge depth threshold to replace the original minimum power quantity threshold, so that in the power consumption estimation module, the estimated surplus stored power is compared with the safe discharge depth threshold to determine whether to perform an additional power supply during the peak.

2. An intelligent regulation and management system for the electricity storage capacity of a wind turbine according to claim 1, characterized in that, The specific method for judging whether the stored power is sufficient within the future observation days according to the daily specified power supply of the wind turbine is: calculate the total required supply power until the future observation days according to the daily specified power supply of the wind turbine, and compare the size of the total required supply power with the estimated stock quantity. When the estimated stock quantity is greater than or equal to the total required supply power, it is judged that the stored power of the wind turbine is sufficient within the future observation days; when the estimated stock quantity is less than the total required supply power, it is judged that the stored power of the wind turbine is insufficient within the future observation days.

3. An intelligent regulation and management system for the electricity storage capacity of a wind turbine according to claim 2, characterized in that, The specific operations based on the comparison result between the estimated surplus stored power and the minimum power threshold are as follows: If the estimated surplus stored power exceeds the minimum power threshold, additional power supply is provided during peak hours; when the stored power of the wind power generator is insufficient within the future observation days, the discharge operations other than the daily specified power supply and the power supply for dealing with sudden power demand events are stopped, and the remaining stored power is used to execute the daily specified power supply.

4. An intelligent regulation and management system for the electricity storage capacity of a wind turbine according to claim 3, characterized in that, When the increase value of the stored power within the future observation days is less than the total required supply power, the difference obtained by subtracting the increase value of the stored power from the total required supply power is used to correspondingly reduce the safety discharge depth threshold until it is reduced to be equal to the minimum power threshold, and the system will use the minimum power threshold to replace the safety discharge depth threshold for use.

5. An intelligent regulation and management system for the electricity storage capacity of a wind turbine, according to claim 4, characterized in that, When the safety discharge depth threshold is reduced to be equal to the minimum power threshold, the system will set the emergency stored power stock. Specifically, the emergency stored power stock is first obtained by subtracting the stored power specified by the minimum power threshold from the current actual power stock to get the surplus stored power stock, and then the surplus stored power stock is compared with the total required supply power of the wind power generator until the future observation days: when the surplus stored power stock is greater than or equal to the total required supply power, the system will select the power equal to the total required supply power from the surplus stored power stock and add it to the minimum power threshold, so that the minimum power threshold is temporarily increased; when the surplus stored power stock is less than the total required supply power, the system will directly add the surplus stored power stock to the minimum power threshold and make the minimum power threshold temporarily increased.

6. An intelligent regulation and management method for the electricity storage capacity of a wind turbine, characterized in that, The intelligent regulation and management system for the stored power of a wind power generator according to any one of claims 1-5 includes the following steps: Continuously monitor the power change of the wind power generator's energy storage system, and set a minimum power threshold. If the actual stored power does not exceed the minimum power threshold, the energy storage system will not perform any discharge operations except for supplying the daily specified power supply of the wind power generator and dealing with the sudden increase in power demand. Estimate the increase value of the stored power of the wind power generator within the future observation days through the weather forecast monitoring technology combined with the wind power generation prediction model, and add the estimated increase value of the stored power to the current actual power stock to obtain the estimated stock of the wind power generator's stored power. Judge whether the stored power is sufficient within the future observation days according to the daily specified power supply of the wind power generator. When it is sufficient, subtract the total required supply power from the estimated stock to obtain the estimated surplus stored power, and compare the estimated surplus stored power with the minimum power threshold, and perform corresponding operations according to the comparison result. When the system provides additional power supply during peak hours, the additional power supplied is obtained by subtracting the minimum power threshold from the estimated surplus stored power, and the system will use the additional power supplied to execute the power supply to the power market during peak hours of electricity consumption.

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